Triple

T34164729
Position Surface form Disambiguated ID Type / Status
Subject Ibajay E876376 entity
Predicate hasPlanningConcern P72002 FINISHED
Object coastal resource management LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: coastal resource management | Statement: [Ibajay, hasPlanningConcern, coastal resource management]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlanningConcern
Context triple: [Ibajay, hasPlanningConcern, coastal resource management]
  • A. hasPlanningIssue chosen
    Indicates that an entity is associated with a problem, concern, or complication related to planning or plan formulation.
  • B. hasPlanningConcept
    Indicates that an entity is associated with, defined by, or governed by a particular planning-related concept or framework.
  • C. hasPlanningStatus
    Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
  • D. hasPlanningSignificance
    Indicates that something holds importance or relevance for planning, decision-making, or future organizational activities.
  • E. hasPlanningConstraint
    Indicates that there is a rule, limitation, or condition that must be considered when planning or scheduling an activity, resource, or process.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f349ac987481908a8e6053f665bc8b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd474b7e788190a9bb9b542d878f60 completed May 8, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69fd46d8b2f0819099d92d72c902f60e completed May 8, 2026, 2:13 a.m.
Created at: May 1, 2026, 1:54 a.m.